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  2. CuPy - Wikipedia

    en.wikipedia.org/wiki/CuPy

    CuPy is an open source library for GPU-accelerated computing with Python programming language, providing support for multi-dimensional arrays, sparse matrices, and a variety of numerical algorithms implemented on top of them. [3] CuPy shares the same API set as NumPy and SciPy, allowing it to be a drop-in replacement to run NumPy/SciPy code on GPU.

  3. AMDgpu (Linux kernel module) - Wikipedia

    en.wikipedia.org/wiki/AMDgpu_(Linux_kernel_module)

    AMDgpu is an open source device driver for the Linux operating system developed by AMD to support its Radeon lineup of graphics cards (GPUs). It was announced in 2014 as the successor to the previous radeon device driver as part of AMD's new "unified" driver strategy, [3] and was released on April 20, 2015.

  4. ROCm - Wikipedia

    en.wikipedia.org/wiki/ROCm

    Installation instructions are provided for Linux and Windows in the official AMD ROCm documentation. ROCm software is currently spread across several public GitHub repositories. Within the main public meta-repository , there is an XML manifest for each official release: using git-repo , a version control tool built on top of Git , is the ...

  5. AMD Software - Wikipedia

    en.wikipedia.org/wiki/AMD_Software

    The main AMD GPU software stacks are fully supported on Linux: GPUOpen for graphics, and ROCm for compute. GPUOpen is most often merely a supplement, for software utilities, to the free Mesa software stack that is widely distributed and available by default on most Linux distributions .

  6. PyTorch - Wikipedia

    en.wikipedia.org/wiki/PyTorch

    In September 2022, Meta announced that PyTorch would be governed by the independent PyTorch Foundation, a newly created subsidiary of the Linux Foundation. [24] PyTorch 2.0 was released on 15 March 2023, introducing TorchDynamo, a Python-level compiler that makes code run up to 2x faster, along with significant improvements in training and ...

  7. CUDA - Wikipedia

    en.wikipedia.org/wiki/CUDA

    In computing, CUDA is a proprietary [1] parallel computing platform and application programming interface (API) that allows software to use certain types of graphics processing units (GPUs) for accelerated general-purpose processing, an approach called general-purpose computing on GPUs.

  8. US asks court to reject TikTok's bid to stave off law that ...

    www.aol.com/news/us-asks-court-reject-delay...

    WASHINGTON (Reuters) -The Justice Department late on Wednesday asked a U.S. appeals court to reject an emergency bid by TikTok to temporarily block a law that would require its Chinese parent ...

  9. Free and open-source graphics device driver - Wikipedia

    en.wikipedia.org/wiki/Free_and_open-source...

    Linux device drivers for AMD hardware in August 2016. AMD's proprietary driver, AMD Catalyst for their Radeon, is available for Microsoft Windows and Linux (formerly fglrx). A current version can be downloaded from AMD's site, and some Linux distributions contain it in their repositories.